Smart camera networks: An analytical framework for auto calibration without ambiguity

K K, Vupparaboina and K, Raghavan and Jana, Soumya (2013) Smart camera networks: An analytical framework for auto calibration without ambiguity. In: IEEE Recent Advances in Intelligent Computational Systems (RAICS), 19-21 Dec. 2013, Trivandrum.

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With the proliferation of smart environment, smart multi-camera networks assume growing significance. Specifically, non-intrusive calibration of such camera networks becomes imperative in smart applications such as telepresence systems, where multi-view imaging/recording needs to be performed in a dynamic setting with continuously changing intrinsic and extrinsic camera parameters. Unfortunately, popular auto calibration methods are known to introduce ambiguity or require manual intervention. In this backdrop, we propose a three-camera configuration (which can be generalized) with a stereo pair having known baseline distance and an additional (mono) camera positioned arbitrarily, and analytically establish the uniqueness of auto calibration in the proposed configuration.

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IITH Creators:
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Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: calibration, cameras, intelligent sensors
Subjects: Others > Engineering technology
Divisions: Department of Electrical Engineering
Depositing User: Library Staff
Date Deposited: 24 Feb 2016 05:59
Last Modified: 12 Sep 2017 10:36
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